AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer

Yulim So, Seokho Kang

Anomaly generation has been widely explored to address the scarcity of anomaly images in real-world data. However, existing methods typically suffer from at least one of the follow…